ReviewHeart failure reviews2025
Hyperkalemia in Heart Failure with Reduced Ejection Fraction: Implications and Management.
Review in Heart failure reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Efficacy and safety of lorundrostat in uncontrolled hypertension: A GRADE-assessed systematic review and meta-analysis of randomized controlled trials.Naunyn-Schmiedeberg's archives of pharmacology · 2026Pooled it
- Clinical impact of an EHR-integrated hyperkalemia management system: a real-world study of 10,934 episodes.Renal failure · 2026Article
- Navigating the data-scarce landscape of pediatric hyperkalemia: a perspective on sodium zirconium cyclosilicate.Pediatric nephrology (Berlin, Germany) · 2026Review
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hyperkalemia is a potentially life-threatening electrolyte imbalance that has traditionally posed significant challenges in the management of heart failure (HF). This review explores the complex interplay between hyperkalemia and the use of guideline-directed medical therapies (GDMT), such as renin-angiotensin-aldosterone system inhibitors (RAASi) and steroidal mineralocorticoid receptor antagonists (sMRAs), including spironolactone and eplerenone, which are currently recommended in guidelines for improving outcomes in heart failure with reduced ejection fraction (HFrEF). While these therapies reduce mortality and hospitalizations in HFrEF, their benefit in patients with heart failure with left ventricular ejection fraction (LVEF) ≥ 40% remains less conclusive. Nevertheless, their use in clinical practice is often limited by the risk of hyperkalemia, potentially leading to dose reduction or discontinuation of life-saving treatments. The prevalence of hyperkalemia in HF patients is notably higher compared to the general population, particularly in those with comorbid chronic kidney disease (CKD) and diabetes mellitus, further complicating management. This review emphasizes the importance of regular potassium monitoring, the potential benefits of combining therapies such as sodium-glucose cotransporter 2 (SGLT2) inhibitors with RAASi to reduce the risk of hyperkalemia, and the emergence of the newer non-steroidal MRA (nsMRA), finerenone, which may have a lower risk of hyperkalemia. Additionally, potassium binders such as patiromer and sodium zirconium cyclosilicate (SZC) are highlighted for their role in managing and preventing hyperkalemia, allowing patients to continue optimal RAASi and MRA therapy without interruption. By synthesizing current evidence on the incidence, risks, and management strategies of hyperkalemia in HF, this review aims to provide a comprehensive guide for clinicians to optimize patient outcomes while mitigating the risks associated with hyperkalemia.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.